Physical Intelligence

Physical Intelligence

Robot Operator

San Francisco

Sponsorship not specifiedDetected 161 days ago
Machine LearningRoboticsControlsResearch

About the role

  • Every robot movement, every successful task completion, every demonstration you provide teaches our AI systems how to interact with the physical world.
  • As a Robot Operator, you're not just controlling robots-you're literally training the AI that will power the next generation of intelligent machines.
  • You'll be at the forefront of robotics AI, working hands-on with cutting-edge robotic systems to generate the high-quality training data our models need.

Responsibilities

  • Either lead robot movements with your arms (the robot mirrors your actions) or guide robots using specialized controllers
  • Maintain high standards for data quality and consistency across all demonstrations
  • Watch some examples of training here: https://drive.google.com/drive/u/0/folders/1YPNYJxKF4i2U41o9pi5AzHCQFYaf2dnw

Requirements

  • Experience with hands-on technical work, lab environments, or precision tasks

Nice to have

  • Experience with robotics systems or automation
  • Background in manufacturing, assembly, or laboratory work
  • Familiarity with AI/ML concepts
  • Gaming or simulation experience with controllers
  • Ready to help train the robots of tomorrow?
  • We'd love to connect with you!
  • Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Compensation

  • Ideal Background
  • Experience with hands-on technical work, lab environments, or precision tasks
  • Interest in AI, robotics, and cutting-edge technology
  • Strong attention to detail and quality focus
  • Meticulous attention to detail-data quality is crucial for AI training
  • Good manual dexterity and hand-eye coordination

Benefits

  • $25/hour + benefits package

Company info

  • Data collection is the fuel that drives our mission.

This listing is sourced directly from Physical Intelligence's careers page and normalized into a canonical job model.